nepacLL: Data: Shorelines of the NE Pacific Ocean and of the World
In PBSmapping: Mapping Fisheries Data and Spatial Analysis Tools

Description Usage Format Note Author(s) Source References See Also

PolySet of polygons for the shorelines of the northeast Pacific Ocean and of the world, both in normal and high resolution.

  data(nepacLL)
  data(nepacLLhigh)
  data(worldLL)
  data(worldLLhigh)

Data frame consisting of 4 columns: PID = primary polygon ID, POS = position of each vertex within a given polygon, X = longitude coordinate, and Y = latitude coordinate. Attributes: projection = "LL".

In R, the data must be loaded using the data function.

Nicholas M. Boers, Associate Professor – Computer Science
MacEwan University, Edmonton AB
Last modified Rd: 2015-01-22

Polygon data from the GSHHG (Global Self-consistent, Hierarchical, High-resolution Geography) Database.
Download the native binary files of shoreline polygons, rivers, and borders contained in the latest zip archive (version 2.3.4 ) at http://www.soest.hawaii.edu/pwessel/gshhg/.

nepacLL <- importGSHHS("gshhs_h.b", xlim=c(-190,-110), ylim=c(34,72), 
           level=1, n=15, xoff=-360)

nepacLLhigh <- importGSHHS("gshhs_f.b", xlim=c(-190,-110),
               ylim=c(34,72), level=1, n=0, xoff=-360)
nepacLLhigh <- thinPolys(nepacLLhigh, tol=0.1, filter=3)

worldLL <- importGSHHS("gshhs_l.b", xlim=c(-20,360), ylim=c(-90,90), 
           level=1, n=15, xoff=0)
worldLL <- .fixGSHHSWorld(worldLL)

worldLLhigh <- importGSHHS("gshhs_i.b", xlim=c(-20,360),
               ylim=c(-90,90), level=1, n=15, xoff=0)
worldLLhigh <- .fixGSHHSWorld(worldLLhigh)

Wessel, P. and Smith, W.H.F. (1996) A global, self-consistent, hierarchical, high-resolution shoreline database. Journal of Geophysical Research 101, 8741–8743.
http://www.soest.hawaii.edu/pwessel/gshhg/Wessel+Smith_1996_JGR.pdf

Data:
bcBathymetry, surveyData, towData

Functions:
importGSHHS, importShapefile, plotMap, plotPolys, addPolys, clipPolys, refocusWorld, thickenPolys, thinPolys